A goal management system receives input of a qualitative first goal related to a body of a user (step S111), identifies a quantitative second goal related to the body of the user from the first goal thus received (step S112 to step S117), and presents the second goal thus identified (step S118). The first goal is converted into the quantitative goal for at least one of a plurality of feature amounts related to the body, thereby identifying the second goal including at least one goal obtained by such conversion. The first goal is converted into the quantitative goal for each feature amount corresponding to a meaning obtained by linguistic analysis. When there are a plurality of meanings obtained by linguistic analysis of the first goal, the first goal is converted into the quantitative goal for each feature amount on the basis of a range of each feature amount per meaning. This makes it possible to indicate a quantitative goal related to the body without receiving input of a goal that is a quantitative numerical value related to the body.

A goal management system receives input of a qualitative first goal related to a body of a user (step S111), identifies a quantitative second goal related to the body of the user from the first goal thus received (step S112 to step S117), and presents the second goal thus identified (step S118). The first goal is converted into the quantitative goal for at least one of a plurality of feature amounts related to the body, thereby identifying the second goal including at least one goal obtained by such conversion. The first goal is converted into the quantitative goal for each feature amount corresponding to a meaning obtained by linguistic analysis. When there are a plurality of meanings obtained by linguistic analysis of the first goal, the first goal is converted into the quantitative goal for each feature amount on the basis of a range of each feature amount per meaning. This makes it possible to indicate a quantitative goal related to the body without receiving input of a goal that is a quantitative numerical value related to the body.

An example method includes obtaining, a virtual model of a portion of an anatomy of a patient obtained from a virtual surgical plan for an orthopedic joint repair surgical procedure to attach a prosthetic to the anatomy; identifying, based on data obtained by one or more sensors, positions of one or more physical markers positioned relative to the anatomy of the patient; and registering, based on the identified positions, the virtual model of the portion of the anatomy with a corresponding observed portion of the anatomy.

An interactive system and method for development of the voice, preferably for singing. The system and methods provide and utilize an animated, interactive, preferably 3D, visual character for illustrating the various human physiological components involved in producing vocals, and how best to strengthen and train such components to prevent injury. The system and methods are designed to visually replicate how the human body, and more specifically the internal organs for voice, interact and synchronize muscular movements that are involved in abdominal support, release of air control, and neural stimulation, in unison with Larynx mobility and gravity.

An interactive system and method for development of the voice, preferably for singing. The system and methods provide and utilize an animated, interactive, preferably 3D, visual character for illustrating the various human physiological components involved in producing vocals, and how best to strengthen and train such components to prevent injury. The system and methods are designed to visually replicate how the human body, and more specifically the internal organs for voice, interact and synchronize muscular movements that are involved in abdominal support, release of air control, and neural stimulation, in unison with Larynx mobility and gravity.

Example embodiments may relate to a system, method, apparatus, and computer readable media configured for monitoring a user performing various athletic movements and generating performance characteristics based on the data corresponding to such athletic movements. Users may also be encouraged to participate in athletic challenges or competitions against other users or groups of users. In addition, athletic movement data for multiple persons can be collected at a central location, and subsequently displayed to a user at a desired remote location, so that the user can compare his or her athletic activities to others.

Athletic performance monitoring systems and methods, many of which utilize, in some manner, global positioning satellite (“GPS”) data, provide data and information to athletes and/or to equipment used by athletes during an athletic event. Such systems and methods may provide route information to athletes and/or their trainers, e.g., for pre-event planning, goal setting, and calibration purposes. Such systems and methods optionally may provide real time information to the athlete while the event takes place, e.g., to assist in reaching the pre-set goals. Additionally, data and information collected by such systems and methods may assist in post-event analysis for athletes and their trainers, e.g., to evaluate past performances and to assist in improving future performances.

A wireless or remote thermometer connected with an artificial intelligence (AI) system. The thermometer may be in communication with a voice-activated AI system to implement operation thereof, such as a cloud-based AI system implemented on a smart audio interface. User-accessible controls for the thermometer may be activated using the voice-activated AI system on the audio interface. The thermometer may include a wireless transceiver for communication with a user. The thermometer collects temperature measurement data to remotely monitor the temperature of food or other materials. The thermometer connects and communicates wirelessly with a receiver unit, such as user smartphone, tablet, or other computerized device. The thermometer unit sends data, alerts or notifications to the delegated receiver, smart device, and/or audio interface, to the user. Communication between the thermometer and receiver unit may be through one or more communication pathways, which may be selected to provide delivery to the user device.

Provided herein are methods of treating multiple sclerosis with a fumarate, wherein the fumarate is a dialkyl fumarate, a monoalkyl fumarate, a combination of a dialkyl fumarate and a monoalkyl fumarate, a prodrug of monoalkyl fumarate, a deuterated form of any of the foregoing, or a pharmaceutically acceptable salt, clathrate, solvate, tautomer, or stereoisomer of any of the foregoing, or a combination of any of the foregoing. The methods provided herein improve the safety of treatment by informing and monitoring patients undergoing treatment regarding progressive multifocal leukoencephalopathy, and/or by monitoring lymphocyte count.

Provided herein are methods of treating multiple sclerosis with a fumarate, wherein the fumarate is a dialkyl fumarate, a monoalkyl fumarate, a combination of a dialkyl fumarate and a monoalkyl fumarate, a prodrug of monoalkyl fumarate, a deuterated form of any of the foregoing, or a pharmaceutically acceptable salt, clathrate, solvate, tautomer, or stereoisomer of any of the foregoing, or a combination of any of the foregoing. The methods provided herein improve the safety of treatment by informing and monitoring patients undergoing treatment regarding progressive multifocal leukoencephalopathy, and/or by monitoring lymphocyte count.